Best AI tools for< 摘要 >
1 - AI tool Sites

Portaly
Portaly is a comprehensive tool designed for creators to manage content, grow their fan base, and monetize traffic. With over 100,000 creators onboard, Portaly offers features like setting up micro-websites, integrating social media content, managing fan lists, handling business transactions, selling digital products, and monitoring traffic data. It serves as a one-stop solution for content monetization by integrating payment systems, creating personalized pages, and driving traffic from various social platforms. Portaly is the largest Chinese portal tool globally, connecting Instagram, YouTube, Podcasts, and TikTok. It leverages AI to assist in creating personalized websites to achieve marketing and sales goals.
20 - Open Source AI Tools

x-hiring
X-Hiring is a job search tool that uses Google AI to extract summaries of the latest job postings. It is easy to install and run, and can be used to find jobs in a variety of fields. X-Hiring is also open source, so you can contribute to its development or create your own custom version.

BestBlogs
BestBlogs.dev is a platform that curates top programming, artificial intelligence, product, and technology articles. It utilizes advanced language models to summarize, rate, and translate these articles, saving users reading time. The platform focuses on providing high-quality content in the fields of programming, AI, product design, business technology, and personal growth from leading tech companies and communities. Users can explore the future of technology through the platform's value-driven content. The website aggregates articles from various RSS feed sources and supports importing them into RSS readers. Users can contribute by suggesting high-quality RSS feed sources for addition.

eisonAI
EisonAI is an intelligent Safari browser plugin that uses advanced Large Language Models (LLM) technology to automatically summarize web content. It intelligently extracts the main content of web pages and generates accurate summaries to help users quickly understand the key points of the web page. The plugin features smart content extraction, AI-powered summarization, interactive dialogue with AI, elegant interface design, flexible display modes, and advanced functionalities like keyboard shortcuts, message deduplication, and intelligent text length limitation. The system architecture includes core modules for content extraction, UI elements injection, message handling, GPT integration, event listening, user control panel, API status management, mode switching interface, and cross-page communication. It utilizes Readability.js for web content parsing, modular event handling system, CSP security control, responsive design, and dark mode support. EisonAI requires macOS 12.0 or higher, iOS 15.0 or higher, and Safari 15.0 or higher for installation and usage.

Windrecorder
Windrecorder is an open-source tool that helps you retrieve memory cues by recording everything on your screen. It can search based on OCR text or image descriptions and provides a summary of your activities. All of its capabilities run entirely locally, without the need for an internet connection or uploading any data, giving you complete ownership of your data.

FisherAI
FisherAI is a Chrome extension designed to improve learning efficiency. It supports automatic summarization, web and video translation, multi-turn dialogue, and various large language models such as gpt/azure/gemini/deepseek/mistral/groq/yi/moonshot. Users can enjoy flexible and powerful AI tools with FisherAI.

intro-llm.github.io
Large Language Models (LLM) are language models built by deep neural networks containing hundreds of billions of weights, trained on a large amount of unlabeled text using self-supervised learning methods. Since 2018, companies and research institutions including Google, OpenAI, Meta, Baidu, and Huawei have released various models such as BERT, GPT, etc., which have performed well in almost all natural language processing tasks. Starting in 2021, large models have shown explosive growth, especially after the release of ChatGPT in November 2022, attracting worldwide attention. Users can interact with systems using natural language to achieve various tasks from understanding to generation, including question answering, classification, summarization, translation, and chat. Large language models demonstrate powerful knowledge of the world and understanding of language. This repository introduces the basic theory of large language models including language models, distributed model training, and reinforcement learning, and uses the Deepspeed-Chat framework as an example to introduce the implementation of large language models and ChatGPT-like systems.

LLMLanding
LLMLanding is a repository focused on practical implementation of large models, covering topics from theory to practice. It provides a structured learning path for training large models, including specific tasks like training 1B-scale models, exploring SFT, and working on specialized tasks such as code generation, NLP tasks, and domain-specific fine-tuning. The repository emphasizes a dual learning approach: quickly applying existing tools for immediate output benefits and delving into foundational concepts for long-term understanding. It offers detailed resources and pathways for in-depth learning based on individual preferences and goals, combining theory with practical application to avoid overwhelm and ensure sustained learning progress.

AI-Guide-and-Demos-zh_CN
This is a Chinese AI/LLM introductory project that aims to help students overcome the initial difficulties of accessing foreign large models' APIs. The project uses the OpenAI SDK to provide a more compatible learning experience. It covers topics such as AI video summarization, LLM fine-tuning, and AI image generation. The project also offers a CodePlayground for easy setup and one-line script execution to experience the charm of AI. It includes guides on API usage, LLM configuration, building AI applications with Gradio, customizing prompts for better model performance, understanding LoRA, and more.

cloudflare-ai-web
Cloudflare-ai-web is a lightweight and easy-to-use tool that allows you to quickly deploy a multi-modal AI platform using Cloudflare Workers AI. It supports serverless deployment, password protection, and local storage of chat logs. With a size of only ~638 kB gzip, it is a great option for building AI-powered applications without the need for a dedicated server.

DISC-LawLLM
DISC-LawLLM is a legal domain large model that aims to provide professional, intelligent, and comprehensive **legal services** to users. It is developed and open-sourced by the Data Intelligence and Social Computing Lab (Fudan-DISC) at Fudan University.

Awesome-LLM-Prune
This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

ChatPDF
ChatPDF is a knowledge question and answer retrieval tool based on local LLM. It supports various open-source LLM models like ChatGLM3-6b, Chinese-LLaMA-Alpaca-2, Baichuan, YI, and multiple file formats including PDF, docx, markdown, txt. The tool optimizes RAG accuracy, Chinese chunk segmentation, embedding using text2vec's sentence embedding, retrieval matching with rank_BM25, and introduces reranker module for reranking candidate sets. It also enhances candidate chunk extension context, supports custom RAG models, and provides a Gradio-based RAG conversation page for seamless dialogue.

FeedCraft
FeedCraft is a powerful tool to process your rss feeds as a middleware. Use it to translate your feed, extract fulltext, emulate browser to render js-heavy page, use llm such as google gemini to generate brief for your rss article, use natural language to filter your rss feed, and more! It is an open-source tool that can be self-deployed and used with any RSS reader. It supports AI-powered processing using Open AI compatible LLMs, custom prompt, saving rules to apply to different RSS sources, portable mode for on-the-go usage, and dock mode for advanced customization of RSS sources and processing parameters.

ai_novel
The ai_novel repository is a diverse intelligent AI knowledge base that includes features for AI writing and image recognition. It provides functionalities such as knowledge graph support, custom dialogue references, integration with various AI platforms like OpenAi, Google Gemini, and more. Users can utilize the tool for tasks like creating characters, generating plotlines, and enhancing text quality through AI influence. The repository also offers features like memory saving, viewing memories, and exporting content from the '拆书库' section. It includes resources for text vectorization and modifications to the OpenWebUi interface.

ai-trend-publish
AI TrendPublish is an AI-based trend discovery and content publishing system that supports multi-source data collection, intelligent summarization, and automatic publishing to WeChat official accounts. It features data collection from various sources, AI-powered content processing using DeepseekAI Together, key information extraction, intelligent title generation, automatic article publishing to WeChat official accounts with custom templates and scheduled tasks, notification system integration with Bark for task status updates and error alerts. The tool offers multiple templates for content customization and is built using Node.js + TypeScript with AI services from DeepseekAI Together, data sources including Twitter/X API and FireCrawl, and uses node-cron for scheduling tasks and EJS as the template engine.
18 - OpenAI Gpts
核心期刊专利论文写作助手
是一个可以帮助你撰写核心期刊专利论文的功能。它可以根据你的专利信息、研究背景、创新点、实施效果等信息,为你生成一份符合格式要求和技术要求的专利论文草稿,包括标题、摘要、关键词、引言、专利介绍、实施效果、结论和参考文献等。它还可以提供一些参考文献和范文,帮助你完善和优化你的专利论文。
高少平科普论文写作助手
是一个可以帮助你撰写科普论文的功能。它可以根据你的科普主题、科普目的、科普对象和科普方法等信息,为你生成一份符合格式要求和内容要求的科普论文草稿,包括标题、摘要、关键词、引言、正文和结语等。它还可以提供一些参考文献和范文,帮助你完善和优化你的科普论文。
核心期刊研究性论文写作助手
是一个可以帮助你撰写核心期刊研究性论文的功能。可以根据你的研究问题、研究目的、研究方法、研究结果和研究结论等信息,为你生成一份符合格式要求和内容要求的研究性论文草稿,包括标题、摘要、关键词、引言、文献综述、研究设计、数据分析、讨论和参考文献等。还可以提供一些参考文献和范文,帮助你完善和优化你的研究性论文。

燕玲核心期刊专利论文写作助手
是一个可以帮助你撰写核心期刊专利论文的功能。它可以根据你的专利信息、研究背景、创新点、实施效果等信息,为你生成一份符合格式要求和技术要求的专利论文草稿,包括标题、摘要、关键词、引言、专利介绍、实施效果、结论和参考文献等。它还可以提供一些参考文献和范文,帮助你完善和优化你的专利论文。

How to Measure Anything
对各种量化问题进行拆解和粗略的估算。注意这种估算主要是靠推测,而不是靠准确的数据,因此仅供参考。理想情况下,估算结果和真实值差距可能在1个数量级以内。即使数值不准确,也希望拆解思路对你有所启发。

Table to JSON
我們經常在看 REST API 參考文件,文件中呈現 Request/Response 參數通常都是用表格的形式,開發人員都要手動轉換成 JSON 結構,有點小麻煩,但透過這個 GPT 只要上傳截圖就可以自動產生 JSON 範例與 JSON Schema 結構。

职业规划师
我是专业的职场规划师,用于帮助个人进行职业规划和发展。需要综合考虑个人特质、就业市场和发展前景给到职业现状评估。主要可以进行职业定位评估、职业发展规划、制定职业行动方案